Extract data from Orange invoices using AI
Koncile's AI OCR, a solution for extracting data from mobile phone bills
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Analyze your Orange invoices thanks to intelligent data capture
Upload your Orange invoices in image or PDF format into the Koncile OCR software to obtain structured data in XLS, JSON, or database format.
Koncile’s OCR allows you to modify, add, or define the information to be extracted.
Pierre Laprée
Founder & CPO at SpendHQ
Koncile automates the intelligent extraction of contractual data. Despite the complexity of our clients’ contracts, the tool ensures quality and speed, saving us valuable time.
What fields can I extract?
The invoice OCR model for Orange invoices accurately captures line-by-line data such as service labels (subscriptions, options, usage), billing periods, pre-tax and total amounts, discounts, and contract or line numbers.
All fields are fully customizable to automate your checks, track your subscriptions, and reliably analyze your expenses.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile to check your Orange invoices?
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Unmatched accuracy in accounting data processing
With a success rate above 99%, our OCR engine delivers exceptional accuracy in extracting key data from accounting documents.
Every piece of information—amounts, dates, invoice numbers, or accounting references is reliably captured.
Thanks to our built-in anomaly detection system, errors or inconsistencies are flagged early, enabling automated quality control and faster decision-making.
Multilingual OCR for your invoices
Our OCR engine, enhanced by advanced language models (LLMs), accurately recognizes alphabets and languages from around the world, making accounting data extraction seamless.
Whether the documents are in Chinese, Arabic, Cyrillic, Japanese, or any other language, Koncile identifies key fields amounts, dates, invoice numbers and enables automatic translation.
Digitize, extract, and centralize your accounting data with ease, even in complex multilingual environments, while ensuring optimal and compliant financial document management.
Integrated with your tools for accounting documents
Koncile integrates perfectly into your digital ecosystem: connection via API, automatic import from your emails or direct synchronization with your ERP.
Easily import documents, trigger automated extractions, and retrieve structured data where you need it.
Whether you use Excel, Outlook, SAP or another business tool, Koncile adapts to your workflow to simplify document management and maximize your productivity gains.
Try next-generation data extraction
Start with a ready-to-use invoice template, test it on a document, and scale up
Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !
An OCR solution designed to extract your Orange invoices
Reading the tables on the invoices
An advanced algorithm for recognizing and analyzing tables, adapted to all types of invoices.
OCR for accurate line-by-line reading
Collect and use the service codes, gross and net unit prices, billing periods, discounts, as well as the line or contract numbers found in the line-by-line details of your Orange invoices.
Orange multi-format invoice processing
Automatically convert all your Orange invoices (paper, PDF, PDF, image, scan) into data ready to be used.
Extracting invoices for API
Create a complete database that can be accessed via API.
Beyond OCR: Validation and verification of extracted fields
What is the billing period? What are the details of the services purchased and the options? What is the total amount billed per line or per contract? Automate the management of your Orange invoices using intelligent OCR.
The OCR API to automate the management of telecom invoices
status
string
Document status, which can be DONE, DUPLICATE, or IN PROGRESS.
document_id
integar
Unique number assigned to each invoice
general_fields
objects
General fields that appear only once in each extracted document. Returned in the format: {field name: extracted value}
line_fields
objects
Repeated fields extracted in bulk for each line or table. Returned in the format: {field name: extracted value}
status
string
Statut du document qui peut être DONE, DUPLICATE, IN PROGRESS.
document_id
integer
Numéro unique attribué pour chaque document
general_fields
objects
Champs généraux apparaissant une seule fois dans chaque document extrait. Retour au format : {nom du champ: valeur extraite}
line_fields
objects
Champs répétés extraits en bloc pour chaque ligne ou chaque tableau. Retour au format : {nom du champ: valeur extraite}
Request
curl api.koncile.ai/tasks/{task_id}/ \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $API_KEY"
response = requests.get(f"{api_url}/tasks/{task_id}/",
headers={"accept": "application/json", "Authorization":{"Bearer{api_key}"})Response
{
"status": DONE | DUPLICATE | IN PROGRESS | FAILED,
"document_id": ID,
"document_name": "name",
"status_message": "",
"General_fields":
{
"Date" : {"value": "05/08/2022", "confidence_score": 0.99},
"Price" : {"value": "$23", "confidence_score": 0.98}
}
,
"Line_fields":
{
"Date" : [{"value": "05/08", "confidence_score": 0.97}, {"value" : "05/08", "confidence_score": 0.98}, ],
"Price" : [{"value": "$23", "confidence_score": 0.98}, {"value": "$12", "confidence_score": 0.97}],
}
}An AI-powered OCR designed for security
No of training on your data
Fully encrypted software
Secure storage of extracted data
RGPD compliant
Explore our ready-to-use OCR models to automate your documents
Procurement
Product name, reference, category, price, stock, stock, description, visuals: extracted by AI, ready to integrate your digital catalog.
Procurement
Customer name, billing address, energy consumption, total amount due, issue date...
Procurement
Customer name, billing address, energy consumption, total amount due, issue date...
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
How does OCR extract information from an Orange bill?
Koncile OCR automatically analyzes key items such as customer number, invoiced amount, billing period, and details of the services purchased. It thus facilitates the management of mobile and internet subscriptions.
Can OCR process a printed or handwritten Orange bill?
Yes, OCR is capable of processing printed or handwritten Orange invoices. For handwritten documents, it uses advanced character recognition techniques to ensure reliable conversion to digital text.
Can I extract specific information from an Orange bill?
Yes! You can retrieve only specific fields such as the amount of paid options, the VAT applied or the details of communications, according to your needs.
In what format should I import an Orange invoice for OCR analysis?
You can upload your Orange bill in the format PDF, PNG, or JPEG. These formats are compatible with our OCR technology and ensure optimal extraction of the information contained in the document. See documentation for more details.
How does OCR integrate with my existing tools and software?
The software is accessible via a powerful API, with comprehensive documentation available. Plus, you can upload documents directly into the app and export the extracted data to XLSX, XLS, CSV, or JSON for seamless integration into your workflows.
I need further assistance.
Check our API documentation, contact us at contact@koncile.ai. You can also create a demo account or book a demonstration with our team.
What are Koncile's prices?
Koncile offers 3 plans, including enterprise options for handling large volumes of data. You can check our pricing on the dedicated page in our documentation.
What are general fields and repeated fields?
In each extraction template, you will find:
- General fields: These are pieces of information that appear only once in each document (e.g., the invoice number or the invoice date).
- Repeated fields: These are pieces of information that appear multiple times in a document, such as item descriptions or prices in each line of a quote. Use repeated fields for extracting tables and charts from your documents.
